Feasibility of an AI-Enhanced Platform for Training Beginners in Narrative Therapy

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Authors: Chitat Chan, Muhammad Adnan, Jianrui Wu
Cited by: 1
References: 30

Abstract

This pilot study investigates the feasibility of an AI-enhanced, self-paced Narrative Therapy (NT) training platform designed to address barriers such as cost, availability, and geographic constraints for beginners. The objectives were to evaluate AI-simulated conversations as a learning tool, examine the reliability of AI-based assessments, and assess participant outcomes. A single-group pretest–posttest design was implemented with 35 participants over one week. The platform incorporated AI-generated rubrics, self-report measures, and qualitative feedback. Results indicated that the AI assessments demonstrated substantial reliability and validity. Participants showed moderate to high alignment with NT principles, reported above-average confidence in using NT, showed greater awareness of their strengths, and expressed positive views regarding the AI simulations and feedback. The discussion emphasizes the potential of generative AI in facilitating dialogic learning, supporting reliable skill assessment, and enabling scalable delivery. Findings suggest that this approach may democratize access to NT training and could be extended to other therapeutic modalities through multimodal AI integration.

Fields of Study & Subjects

Digital Mental Health Interventions Artificial Intelligence in Healthcare and Education Mental Health via Writing

Publication details

Journal / source
Journal of Technology in Human Services
Publisher
Informa UK Limited
Volume
44
Issue
3
Pages
317–348
Publication date
27 April 2026
Language
EN